Multiple computational methods have been developed to understand how mutations drive tumourigenesis, but their insights are largely non-overlapping. Here, the authors introduce NetFlow3D, a framework for integrating protein structure and interaction networks to map the mechanistic effects of somatic mutations in cancer.
- Yingying Zhang
- Alden K. Leung
- Haiyuan Yu
